Topic Modeling in Medical Data Analysis. Case Study Based on Medical Records Analysis

2019 ◽  
Author(s):  
Adriana Mihaela Coroiu ◽  
Alina Delia Calin ◽  
Maria Nutu
Keyword(s):  
Data Analysis ◽  
Medical Records ◽  
Topic Modeling ◽  
Medical Data

scholarly journals A Fog Computing-Based Architecture for Medical Records Management

2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Cícero A. Silva ◽  
Gibeon S. Aquino ◽  
Sávio R. M. Melo ◽  
Dannylo J. B. Egídio
Keyword(s):  
Medical Records ◽  
Fog Computing ◽  
Medical Data ◽  
Data Sources ◽  
Medical Applications ◽  
Records Management ◽  
Medical Field ◽  
Computing Paradigm ◽  
And Storage

The aging of the world’s population and the growth in the number of people with chronic diseases have increased expenses with medical care. Thus, the use of technological solutions has been widely adopted in the medical field to improve the patients’ health. In this context, approaches based on Cloud Computing have been used to store and process the information generated in these solutions. However, using Cloud can create delays that are intolerable for medical applications. Thus, the Fog Computing paradigm emerged as an alternative to overcome this problem, bringing computation and storage closer to the data sources. However, managing medical data stored in Fog is still a challenge. Moreover, characteristics of availability, performance, interoperability, and privacy need to be considered in approaches that aim to explore this problem. So, this article shows a software architecture based on Fog Computing and designed to facilitate the management of medical records. This architecture uses Blockchain concepts to provide the necessary privacy features and to allow Fog Nodes to carry out the authorization process in a distributed way. Finally, this paper describes a case study that evaluates the performance, privacy, and interoperability requirements of the proposed architecture in a home-centered healthcare scenario.

Nursing Documentation: Culture Perception, Motivation, and Commitment(Study in Paru Batu Hospital Malang East Java Indonesia)

2014 ◽  
Vol 2 (2) ◽  
pp. 110-117
Author(s):  
Agni H. Pratiwi ◽  
Armanu Armanu ◽  
Dewi K. Ningsih
Keyword(s):  
Organizational Culture ◽  
Data Analysis ◽  
Medical Records ◽  
Legal Aspects ◽  
Hospital Data ◽  
Nursing Documentation ◽  
A Value ◽  
The Subject ◽  
Culture Motivation

Objective - Nursing documentation is a part of the medical records. Which have important values such as administrative and legal aspects, etc. Therefore, the hospital manager should design an organizational culture that increases nurse commitment and motivation to complete medical records. The objective of this study was to find out the effect of direct and indirect perception of organizational culture toward nurse's commitment with motivation as a mediating variable. Methodology - The data were collected using questionnaires. The sample was 44 nurses of inpatient unit inthe Paru Batu Hospital. Data analysis used in this research was path analysis. Findings - The result of data analysis showed that there was an influence of organizational culture on nurse commitment at a value of 0,592. Moreover, there was an influence of organizational culture on the commitment with motivation as a mediating variable at value of 0,307. Novelty - Nowadays, only few studies have investigated the influence of organizational culture toward commitment with motivation as a mediating variable. In addition, studies examining the effect of it with nurses as the subject and nursing documentation as the object are very limited. Type of Paper - Case study Keywords: Culture, Motivation, Commitment, Nursing Documentation

Current Status of a Medical Information System

1970 ◽  
Vol 09 (03) ◽  
pp. 149-160 ◽  
Author(s):  
E. Van Brunt ◽  
L. S. Davis ◽  
J. F. Terdiman ◽  
S. Singer ◽  
E. Besag ◽  
...  
Keyword(s):  
Information System ◽  
Medical Records ◽  
Medical Information ◽  
Clinical Laboratory ◽  
Development Program ◽  
Medical Data ◽  
Direct Access ◽  
Medical Information System ◽  
Current Status ◽  
Central System

A pilot medical information system is being implemented and currently is providing services for limited categories of patient data. In one year, physicians’ diagnoses for 500,000 office visits, 300,000 drug prescriptions for outpatients, one million clinical laboratory tests, and 60,000 multiphasic screening examinations are being stored in and retrieved from integrated, direct access, patient computer medical records.This medical information system is a part of a long-term research and development program. Its major objective is the development of a multifacility computer-based system which will support eventually the medical data requirements of a population of one million persons and one thousand physicians. The strategy employed provides for modular development. The central system, the computer-stored medical records which are therein maintained, and a satellite pilot medical data system in one medical facility are described.

Teaching Computer Based Historical Data Analysis

1994 ◽  
Vol 6 (1) ◽  
pp. 52-58 ◽  
Author(s):  
Charles Anderson ◽  
Robert J. Morris
Keyword(s):  
Data Analysis ◽  
Social History ◽  
Historical Data ◽  
Good Practice ◽  
Computer Assisted ◽  
Historical Data Analysis ◽  
University Of Edinburgh ◽  
Computer Based ◽  
The University

A case study ofa third year course in the Department of Economic and Social History in the University of Edinburgh isusedto considerandhighlightaspects of good practice in the teaching of computer-assisted historical data analysis.

KAJIAN PENYELENGGARAAN PAUD DI KOTA BANJARMASIN DITINJAU DARI ASPEK PERENCANAAN

2018 ◽  
Vol 2 (2) ◽  
pp. 159
Author(s):  
Lisna Sulinar Sari
Keyword(s):  
Early Childhood ◽  
Data Analysis ◽  
Early Childhood Education ◽  
Educational Needs ◽  
Needs Analysis ◽  
Case Study Approach ◽  
Childhood Education ◽  
Study Approach ◽  
Early Childhood Institutions

Abstrak: Permasalahan dalam penelitian ini yaitu dari jumlah lembaga PAUD yang ada diKota Banjarmasin belum semuanya memiliki perencanaan khususnya pada analisispeningkatan legalitas kelembagaan PAUD dan analisis kebutuhan pendidikan untuk anak usiadini (AUD). Penelitian ini menggunakan pendekatan studi kasus dengan analisis data deskrtifkuantitatif dan kualitataif. Hasil studi menunjukkan bahwa: i) Disdik Kota Banjarmasin danLembaga PAUD sampel tidak melakukan perencanaan yang baik untuk pendataan analisiskebutuhan pendidikan AUD; ii) Belum semua lembaga PAUD sampel memiliki izinoperasional dikarenakan adanya persyaratan yang belum dapat dipenuhi karena memerlukanbiaya yang cukup besar seperti, pembuatan akta notaris; iii) Belum semua lembaga PAUDmemiliki sarpras sesuai dengan pedoman sarana dan prasarana dari pusat; iv) untuk membantuketersediaan sarpras, Disdik Kota Banjarmasin sudah mengalokasikan dana APBD II berupabantuan RKB, rehab kelas rusak ringan dan berat, serta bantuan APE Dalam dan Luar berupabarang. Abstract: The problem in this study is from the number of early childhood institutions in thecity of Banjarmasin not all have plans in particular to the analysis of institutional legalityincrease early childhood education and educational needs analysis for early childhood (AUD).This study uses a case study approach to data analysis of quantitative and qualitative deskrtif.The study shows that: i) Disdik Banjarmasin and Institutions ECD sample is not doing betterplanning for data analysis AUD educational needs; ii) Not all the samples of early childhoodinstitutions have an operating permit because of the requirements can not be met because itrequires significant costs such as notary deed; iii) Not all early childhood institutions haveinfrastructure accordance with the guidelines of the central infrastructure; iv) to assist theavailability infrastructure, Disdik Banjarmasin already allocated budget II in the form ofclassroom assistance, rehabilitation of damaged light and heavy classes, as well as the In andOut APE assistance in the form of goods.

scholarly journals An Evaluation of the Formative Experiences of Students Enrolled in Postgraduate Studies in Education: Case Study in Northern Mexico

2021 ◽  
Vol 13 (9) ◽  
pp. 4790
Author(s):  
Brenda Imelda Boroel Cervantes ◽  
José Alfonso Jiménez Moreno ◽  
Salvador Ponce Ceballos ◽  
José Sánchez Santamaría
Keyword(s):  
Data Analysis ◽  
Focus Groups ◽  
Teaching Staff ◽  
Training Context ◽  
Northern Mexico ◽  
Postgraduate Studies ◽  
Successful Design ◽  
Formative Experiences

The educational journey in postgraduate programs is linked to the actors, processes and results, setting the tone for different approaches from the perspective of characterization, development and evaluation. It is summarized in a sequential manner in four stages: entry to the program, progress within the program, and the final educational stretch, where the instructor/tutor plays an important part and obtaining the diploma or degree. The goal of this research was to evaluate, using the students’ perceptions, formative experiences as a result of their academic journey in postgraduate programs within education in Northern Mexico. We have used a case study based on the focus groups technique, applied to a sample of cases comprised of students enrolled in their final educational stage. The information was analyzed using inductive data analysis. The main results were grouped into three meta categories: (1) development of professional skills for the successful design of the intervention proposal, which unfolded into four categories; (2) the role of the tutor during the formative process, consisting of four analysis categories and (3) contributions of the teaching staff in their profession, consisting of two categories. These trends also evidence the formative abundance in the personal, academic and social training context of the students.

Applications of Image Processing in Teleradiology for the Medical Data Analysis and Transfer Based on IOT

2021 ◽  
pp. 175-204
Author(s):  
S. N. Kumar ◽  
A. Lenin Fred ◽  
L. R. Jonisha Miriam ◽  
Parasuraman Padmanabhan ◽  
Balázs Gulyás ◽  
...  
Keyword(s):  
Image Processing ◽  
Data Analysis ◽  
Medical Data
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